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Optimal Sample Selection Through Uncertainty Estimation and Its
  Application in Deep Learning

Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning

5 September 2023
Yong Lin
Chen Liu
Chen Ye
Qing Lian
Yuan Yao
Tong Zhang
ArXivPDFHTML

Papers citing "Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning"

6 / 6 papers shown
Title
Probabilistic Bilevel Coreset Selection
Probabilistic Bilevel Coreset Selection
Xiao Zhou
Renjie Pi
Weizhong Zhang
Yong Lin
Tong Zhang
NoLa
106
29
0
24 Jan 2023
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial
  Corruptions
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions
Jiafan He
Dongruo Zhou
Tong Zhang
Quanquan Gu
75
47
0
13 May 2022
A Survey of Deep Active Learning
A Survey of Deep Active Learning
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Brij B. Gupta
Xiaojiang Chen
Xin Wang
68
1,129
0
30 Aug 2020
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
112
2,854
0
14 Mar 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
552
36,599
0
25 Aug 2016
A Unified Framework for Approximating and Clustering Data
A Unified Framework for Approximating and Clustering Data
Dan Feldman
M. Langberg
109
457
0
07 Jun 2011
1